As currently, the world is in a pandemic I thought I use one of the multiple datasets for Covid-19 cases. Given the structure of the dataset, we want to predict the new cases of infections per day for a country.
Machine Learning content. The application takes basic steps of building a Machine Learning model. This covers the preparation, but also the prediction.
In time evaluation (not in time training) of the prediction. This means that the dataset is freshly fetched and the prediction is performed on the latest data.
Deployment. Deploying a Machine Learning app has various challenges. In this article, we met and solved the issue of outsourcing the trained model on AWS.
It is not only an API but also has a minor frontend.
The API provides functionality to
Tutorial and building documented: https://towardsdatascience.com/develop-and-sell-a-machine-learning-app-from-start-to-end-tutorial-ed5b5a2b6b2b